Brian S. Robinson

24 papers B 2Journal 3Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Optimizing generalized feedback paths for credit assignment. ICONS Brian S. Robinson, Isaac Western, Erik C. Johnson, Matthew J. Roos
2023	—	`conf`	A sparse null code emerges in deep neural networks. UniReps Brian S. Robinson, Nathan Drenkow, Colin Conwell, Michael F. Bonner
2023	—	`conf`	Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center. ICONS Raphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson
2023	J	`jnl`	Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann
2022	J	`jnl`	Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling. CoRR Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon
2022	B	`conf`	Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling. IJCNN Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon
2022	B	`conf`	Continuous State Estimation With Synapse-constrained Connectivity. IJCNN Raphael Norman-Tenazas, Brian S. Robinson, Justin Joyce, Isaac Western, Erik C. Johnson, William R. Gray Roncal, Joan A. Hoffmann
2021	—	`conf`	A spiking network model for semantic representation and replay-based association acquisition. ICONS Brian S. Robinson, Adam Polevoy, Sean McDaniel, Will Coon, Clara A. Scholl, Mark McLean, Erik Johnson
2021	—	`conf`	Phase component of frequency-domain functional near-infrared imaging improves decoding of motor-evoked neural activity. NER Margaret C. Thompson, Brian S. Robinson, Griffin W. Milsap, Jeremiah J. Wathen, Michael J. Fitch, Clara A. Scholl, Scott M. Hendrickson
2020	—	`conf`	Accelerating Estimation of a Multi-Input Multi-Output Model of the Hippocampus with a Parallel Computing Strategy. EMBC Xiwei She, Brian S. Robinson, Theodore W. Berger, Dong Song
2016	—	`conf`	Decoding memory features from hippocampal spiking activities using sparse classification models. EMBC Dong Song, Robert E. Hampson, Brian S. Robinson, Vasilis Z. Marmarelis, Sam A. Deadwyler, Theodore W. Berger
2016	J	`jnl`	Identification of Stable Spike-Timing-Dependent Plasticity from Spiking Activity with Generalized Multilinear Modeling. Neural Comput. Brian S. Robinson, Theodore W. Berger, Dong Song
2016	—	`conf`	Monte Carlo validation of spike-timing-dependent plasticity identification from spiking activity. EMBC Brian S. Robinson, Theodore W. Berger, Dong Song
2015	—	`conf`	Estimation of a large-scale generalized Volterra model for neural ensembles with group lasso and local coordinate descent. EMBC Brian S. Robinson, Dong Song, Theodore W. Berger
2015	—	`conf`	Nonlinear dynamical modeling of human hippocampal CA3-CA1 functional connectivity for memory prostheses. NER Dong Song, Robert E. Hampson, Brian S. Robinson, Ioan Opris, Vasilis Z. Marmarelis, Sam A. Deadwyler, Theodore W. Berger
2015	—	`conf`	Sparse generalized volterra model of human hippocampal spike train transformation for memory prostheses. EMBC Dong Song, Brian S. Robinson, Robert E. Hampson, Vasilis Z. Marmarelis, Sam A. Deadwyler, Theodore W. Berger
2014	—	`conf`	Generalized volterra kernel model identification of spike-timing-dependent plasticity from simulated spiking activity. EMBC Brian S. Robinson, Dong Song, Theodore W. Berger
2014	—	`conf`	Implementing spiking neuron model and spike-timing-dependent plasticity with generalized Laguerre-Volterra models. EMBC Dong Song, Brian S. Robinson, John J. Granacki, Theodore W. Berger
2013	—	`conf`	Laguerre-volterra identification of spike-timing-dependent plasticity from spiking activity: A simulation study. EMBC Brian S. Robinson, Dong Song, Theodore W. Berger
2013	—	`conf`	The contribution of relative activation levels between populations of cells to network activity in a large-scale biologically realistic model of the hippocampus. EMBC Phillip J. Hendrickson, Gene J. Yu, Brian S. Robinson, Dong Song, Theodore W. Berger
2013	—	`conf`	The role of topography in the transformation of spatiotemporal patterns by a large-scale, biologically realistic model of the rat dentate gyrus. EMBC Gene J. Yu, Phillip J. Hendrickson, Brian S. Robinson, Dong Song, Theodore W. Berger
2012	—	`conf`	Implementation of activity-dependent synaptic plasticity rules for a large-scale biologically realistic model of the hippocampus. EMBC Brian S. Robinson, Gene J. Yu, Phillip J. Hendrickson, Dong Song, Theodore W. Berger
2012	—	`conf`	Implementation of topographically constrained connectivity for a large-scale biologically realistic model of the hippocampus. EMBC Gene J. Yu, Brian S. Robinson, Phillip J. Hendrickson, Dong Song, Theodore W. Berger
2012	—	`conf`	Towards a large-scale biologically realistic model of the hippocampus. EMBC Phillip J. Hendrickson, Gene J. Yu, Brian S. Robinson, Dong Song, Theodore W. Berger